examples/rtdw/java/src/main/java/org/myorg/quickstart/DataStreamJob.java
<reponame>easysql/easy_sql/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.myorg.quickstart;

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

/**
 * Skeleton for a Flink DataStream Job.
 *
 * <p>For a tutorial how to write a Flink application, check the
 * tutorials and examples on the <a href="https://flink.apache.org">Flink Website</a>.
 *
 * <p>To package your application into a JAR file for execution, run
 * 'mvn clean package' on the command line.
 *
 * <p>If you change the name of the main class (with the public static void main(String[] args))
 * method, change the respective entry in the POM.xml file (simply search for 'mainClass').
 */
public class DataStreamJob {

	public static void main(String[] args) throws Exception {
		// Sets up the execution environment, which is the main entry point
		// to building Flink applications.
		final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

		/*
		 * Here, you can start creating your execution plan for Flink.
		 *
		 * Start with getting some data from the environment, like
		 * 	env.fromSequence(1, 10);
		 *
		 * then, transform the resulting DataStream<Long> using operations
		 * like
		 * 	.filter()
		 * 	.flatMap()
		 * 	.window()
		 * 	.process()
		 *
		 * and many more.
		 * Have a look at the programming guide:
		 *
		 * https://nightlies.apache.org/flink/flink-docs-stable/
		 *
		 */

		// Execute program, beginning computation.
		env.execute("Flink Java API Skeleton");
	}
}
